Paper: Class-Driven Attribute Extraction

ACL ID C08-1116
Title Class-Driven Attribute Extraction
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008

We report on the large-scale acquisition of class attributes with and without the use of lists of representative instances, as well as the discovery of unary attributes, such as typically expressed in English through prenominal adjectival modifica- tion. Our method employs a system based on compositional language processing, as applied to the British National Corpus. Ex- perimental results suggest that document- based, open class attribute extraction can produce results of comparable quality as those obtained using web query logs, indi- cating the utility of exploiting explicit oc- currences of class labels in text.